JuliaHub develops Scientific Machine Learning tools and agentic AI for physical systems engineering, centering on Dyad, a platform that connects autonomous agents with scalable physics simulation, control synthesis, safety analysis, and auto-generated embedded code. Dyad 3.0 is being launched commercially after prior releases in June and December 2025, and the company says several Fortune 100 customers across aerospace, automotive, HVAC, utilities and government are using its tools. The company was founded in 2015 by the creators of the Julia programming language, which is used by over a million developers. JuliaHub highlights partnerships and integrations—e.g., with Synopsys/Ansys TwinAI and Binnies—that produced high-fidelity digital twins and a pump-fault predictor with over 90% accuracy using four sensors. JuliaHub positions Dyad to compress engineering design, testing and iteration from months to minutes and intends to scale commercial adoption with the newly raised capital.

Total raised

$107M

Funding rounds

4

Latest round

Series B

Latest activity

Apr 2026